PhD Position in Trustworthy Biomedical AI (f/m/x)

Helmholtz Munich; München; Vor Ort; EUR 28.000 - 42.000; Teilzeit

Benefits dieser Stelle

Open research in the open

Access to compute and datasets

Open-source contributions

Graduate-school training toward a TUM/

Relocation assistance

30 days annual leave

Flexi days

Health promotion & wellness

Zusammenfassung

Helmholtz Munich invites applications for a PhD Candidate position in the Accessible Biomedical AI group. You will define and drive your doctoral project, design and evaluate methods openly, and publish at leading ML and bioinformatics venues.

The role offers mentoring, open-source collaboration, and integration into a broad Helmholtz AI ecosystem across the DZD network. Eligible candidates hold a Master’s in Computer Science, ML, Data Science, Bioinformatics or related fields, with strong

Qualifikationen

• Master's degree (obtained or near completion) in a relevant field.
• Strong Python, git, testing and documentation habits.
• Experience with ML, NLP, or LLMs is an advantage.
• Ability to scope and drive work independently.

Aufgaben

• Define and drive a doctoral project within the group's scope.
• Design, implement, and evaluate methods and systems openly (open-source).
• Publish at ML and bioinformatics venues and present internationally.
• Contribute to the group's open-source ecosystem.
• Collaborate across institutional networks.

Kenntnisse

Python

Git

Testing

Documentation

ML/NLP/LLMs

Self-direction

English communication

Curiosity about biomedicine

Ausbildung

Master's degree in Computer Science, ML, Data Science, Bioinformatics, Computational Biology, or related

Tools

BioCypher

BioChatter

BioContextAI

Jobbeschreibung

At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.

Helmholtz AI, the artificial intelligence platform of the Helmholtz Association, aims to democratize AI and enhance its capabilities to address cutting‑edge scientific questions and major societal challenges. As an application‑driven platform, we accelerate scientific discovery across the Helmholtz Association by enabling the development and implementation of AI solutions.

We host dedicated research groups and consultancy teams that are at the heart of our activities, ensuring the broad dissemination of AI methods and the integration of data‑driven research across disciplines. We foster collaboration, ensure access to key resources and expertise, and empower researchers to harness the full potential of artificial intelligence.

The Accessible Biomedical AI group builds open, trustworthy AI for biomedicine. Our work spans three connected areas:

• Representing biomedical knowledge in forms that machines can reason over.
• Building agentic and co‑scientist systems that use that knowledge.
• Developing the evaluation methods that tell us whether any of it can be trusted.

We sit at the meeting point of machine learning methods and biomedical application, embedded in Helmholtz AI, the Computational Health Center, and the German Center for Diabetes Research (DZD). We are working in the open by sharing code and methods with the research community. Our tools (BioCypher, BioChatter, BioContextAI) are used by research groups worldwide, and we hold ourselves to reproducible, well‑tested, community‑facing engineering.

As a PhD Candidate (f/m/x) you will define and drive your own doctoral project within the group's scope. You set the research questions and build the methods and systems to answer them. You will work in a team with individual supervision.

Your tasks

• Formulate a doctoral project around one or more of the research directions below, or a well‑argued proposal of your own that fits the group's scope.
• Design, implement, and evaluate methods and systems, working openly through open‑source software and reproducible research practices.
• Publish at leading ML and bioinformatics venues and present your work at international meetings.
• Contribute to the group's open‑source ecosystem and the wider community around it.
• Collaborate across the method and domain expertise available in our institutional networks.

Your profile

• Education: Master's degree (obtained or near completion) in Computer Science, Machine Learning, Data Science, Bioinformatics, Computational Biology, or a related field.
• Technical skills: Strong Python and a working git, testing, and documentation habit; depending on your chosen direction, experience with machine learning, NLP, or LLMs is an advantage.
• Self‑direction: Evidence that you can scope and drive work on your own (for instance, a portfolio, open‑source contributions, or a thesis or side project you led yourself).
• Domain interest: Curiosity about biomedicine; a domain background is welcome but not required, we will help you build it; candidates coming from biology or medicine with solid Python skills are explicitly welcome.
• Communication: Fluent written and spoken English.
• Disposition: Comfort with open‑ended problems and the ability to turn a vague question into a concrete plan.

Research directions

• Trustworthy AI and evaluation, reliability and robustness (e.g., how do we know when an agent's literature synthesis is wrong?)
• Agentic and co‑scientist systems, orchestration and epistemic processes (e.g., how should a co‑scientist decide what to verify before it acts?)
• Knowledge representation, grounding, representation learning (e.g., what graph or embedding structure lets an LLM ground its claims?)

This position provides the opportunity for you to build specialist knowledge whilst developing key professional experience, both of which will help you to make strides in your scientific career.

Remuneration and social security benefits are based on the German Collective Wage Agreement for Public‑Sector Employees at Federal Level (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of receiving an allowance of max. 25% if the applicable conditions are met. The position has an (initial) fixed term of three years but may be extended under certain circumstances.

We offer:

• A group where you own your research and work in the open.
• Integration into Helmholtz AI, the Computational Health Center, and the DZD network, with access to compute, curated biomedical corpora, and knowledge graphs.
• The chance to contribute to open‑source frameworks and real deployments used well beyond our lab.
• Close mentoring from the group and structured graduate‑school training toward a TUM doctorate.

Benefits

• Career Development: Postdoc program, scientific training & career center with tailored offers
• Scientific Resources: State‑of‑the‑art infrastructure and Core Facilities
• Recreation: 30 days annual leave, flexi days, plus public holidays
• International Staff Service: Support with the relocation and integration process in Germany
• Health Promotion: Sports, company doctor, mental health initiatives

If you have any questions, feel free to contact Sebastian Lobentanzer, [e-mail], who will be happy to help.

Our recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future.

We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.